Evidence map›Paper›PMID 42197876›Full record

ArticleSensors (Basel, Switzerland)2026

Smartphone-Based Assessment of the Stretch-Shortening Cycle: Validity and Reliability of the My Jump Lab App for Measuring the Dynamic Rebound Index.

Carlos Balsalobre-Fernández

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Carlos Balsalobre-FernándezApplied Biomechanics and Sport Technology Research Group, Autonomous University of Madrid, 28049 Madrid, Spain.ORCID 0000-0002-8329-1581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to analyze the validity and reliability of the My Jump Lab (My Jump Lab, Madrid, Spain) smartphone application for measuring the Dynamic Rebound Index (DRI) during drop jump testing. Seventeen physically active participants completed two testing sessions separated by 48 h. In each session, six drop jumps from a 40 cm box were performed while jump height, contact time and DRI were simultaneously recorded using a force platform and the app. Very large to nearly perfect correlations were observed between devices for all variables (r > 0.98). Agreement between methods was excellent, as indicated by the intraclass correlation coefficient (ICC > 0.97) and the concordance correlation coefficient (CCC > 0.93). Bland-Altman analysis revealed small systematic differences and narrow limits of agreement. The root mean square error (RMSE) was low, indicating minimal prediction error. Test-retest reliability between sessions was good for both devices (ICC = 0.825-0.925), and within-session reliability across attempts was high (ICC = 0.705-0.870). These findings indicate that My Jump Lab provides valid and reliable measurements of drop jump performance, including DRI, relative to a force platform, with potential utility in applied settings.

Indexed as

Mobile ApplicationsSmartphoneAdultFemaleHumansMaleReproducibility of ResultsYoung Adultmonitoringplyometricssmartphonestretch-shortening cycle

Identifiers

PMID42197876
PMCPMC13211155

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.